Turn your AI bill into real unit economics
Usage-based AI pricing makes the vendor invoice a moving target. AI Observly gives you the per-customer and per-plan cost data to model it properly instead of reacting to it.
The problem
What you're running into
AI/LLM spend is the hardest line item to forecast.
It scales with usage, not headcount or seats, so last month's bill tells you very little about next month's.
Contribution margin models are missing a piece.
Without per-customer AI cost, any margin or unit economics model built on top of your SaaS revenue is incomplete.
Overruns are discovered after the fact.
By the time a cost problem shows up on the provider invoice, the quarter it affected is already closed.
How AI Observly helps
What changes when you have the data
Per-customer & per-plan cost data.
The input your unit economics and contribution margin models are currently missing, without asking engineering to pull it manually.
Plan-level profitability.
See which pricing tiers are structurally profitable and which are being propped up by your other plans.
A shared source of truth.
The same cost numbers finance, product, and founders are looking at — no more reconciling spreadsheets before a board meeting.
Give your margin models the missing input.
Start monitoring now